| all_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.520555 | | std_true | 0.223859 | | mean_random | 0.152264 | | std_random | 0.099044 | | snr | 3.718436 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.483550 | | precision@k | 0.096710 | | mean reciprocal rank | 0.487856 | |
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| all_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.463276 | | std_true | 0.242676 | | mean_random | 0.107584 | | std_random | 0.091173 | | snr | 3.901295 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.444600 | | precision@k | 0.088920 | | mean reciprocal rank | 0.455219 | |
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| all_roberta_large_v1 |
| Statistic | Value | | arch | roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 50265 | |
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| Statistic | Value | | mean_true | 0.602619 | | std_true | 0.188348 | | mean_random | 0.117541 | | std_random | 0.096130 | | snr | 5.046082 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.79290 | | precision@k | 0.15858 | | mean reciprocal rank | 0.74458 | |
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| paraphrase_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.471597 | | std_true | 0.233634 | | mean_random | 0.163883 | | std_random | 0.086582 | | snr | 3.554028 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.358700 | | precision@k | 0.071740 | | mean reciprocal rank | 0.399813 | |
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| paraphrase_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.423578 | | std_true | 0.249959 | | mean_random | 0.125499 | | std_random | 0.097514 | | snr | 3.056799 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.287600 | | precision@k | 0.057520 | | mean reciprocal rank | 0.352215 | |
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| bert_base_nli_mean_tokens |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.598357 | | std_true | 0.209622 | | mean_random | 0.347858 | | std_random | 0.131530 | | snr | 1.904495 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.277100 | | precision@k | 0.055420 | | mean reciprocal rank | 0.352927 | |
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| LaBSE |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 501153 | |
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| Statistic | Value | | mean_true | 0.891042 | | std_true | 0.084107 | | mean_random | 0.186426 | | std_random | 0.096587 | | snr | 7.295161 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.987600 | | precision@k | 0.197520 | | mean reciprocal rank | 0.979883 | |
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| distiluse_base_multilingual_cased_v2 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.898081 | | std_true | 0.099776 | | mean_random | 0.021226 | | std_random | 0.081071 | | snr | 10.815850 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.981950 | | precision@k | 0.196390 | | mean reciprocal rank | 0.972438 | |
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| paraphrase_multilingual_MiniLM_L12_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 12 | | vocab_size | 250037 | |
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| Statistic | Value | | mean_true | 0.890121 | | std_true | 0.108192 | | mean_random | 0.163694 | | std_random | 0.130198 | | snr | 5.579393 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.959050 | | precision@k | 0.191810 | | mean reciprocal rank | 0.947329 | |
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| paraphrase_multilingual_mpnet_base_v2 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.918349 | | std_true | 0.091276 | | mean_random | 0.214925 | | std_random | 0.124556 | | snr | 5.647454 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.970000 | | precision@k | 0.194000 | | mean reciprocal rank | 0.959031 | |
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| paraphrase_xlm_r_multilingual_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.888385 | | std_true | 0.099498 | | mean_random | 0.183479 | | std_random | 0.105966 | | snr | 6.652215 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.976400 | | precision@k | 0.195280 | | mean reciprocal rank | 0.966757 | |
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| xlm_r_distilroberta_base_paraphrase_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.888385 | | std_true | 0.099498 | | mean_random | 0.183479 | | std_random | 0.105966 | | snr | 6.652215 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.976400 | | precision@k | 0.195280 | | mean reciprocal rank | 0.966757 | |
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| stsb_xlm_r_multilingual |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.921425 | | std_true | 0.091246 | | mean_random | 0.176070 | | std_random | 0.146825 | | snr | 5.076479 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.969600 | | precision@k | 0.193920 | | mean reciprocal rank | 0.957799 | |
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| xlm_r_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.921425 | | std_true | 0.091246 | | mean_random | 0.176070 | | std_random | 0.146825 | | snr | 5.076479 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.969600 | | precision@k | 0.193920 | | mean reciprocal rank | 0.957799 | |
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| xlm_r_100langs_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.921425 | | std_true | 0.091246 | | mean_random | 0.176070 | | std_random | 0.146825 | | snr | 5.076479 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.969600 | | precision@k | 0.193920 | | mean reciprocal rank | 0.957799 | |
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| xlm_r_100langs_bert_base_nli_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.953912 | | std_true | 0.060187 | | mean_random | 0.346739 | | std_random | 0.156871 | | snr | 3.870531 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.962900 | | precision@k | 0.192580 | | mean reciprocal rank | 0.951571 | |
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| distilbert_multilingual_nli_stsb_quora_ranking |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.970870 | | std_true | 0.035256 | | mean_random | 0.758981 | | std_random | 0.071919 | | snr | 2.946196 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.939850 | | precision@k | 0.187970 | | mean reciprocal rank | 0.923658 | |
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| quora_distilbert_multilingual |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.970870 | | std_true | 0.035256 | | mean_random | 0.758981 | | std_random | 0.071919 | | snr | 2.946196 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.939850 | | precision@k | 0.187970 | | mean reciprocal rank | 0.923658 | |
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| xlm_r_large_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.892495 | | std_true | 0.117369 | | mean_random | 0.182740 | | std_random | 0.147920 | | snr | 4.798225 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.936450 | | precision@k | 0.187290 | | mean reciprocal rank | 0.920795 | |
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| xlm_r_base_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.883468 | | std_true | 0.105642 | | mean_random | 0.220212 | | std_random | 0.165127 | | snr | 4.016651 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.930850 | | precision@k | 0.186170 | | mean reciprocal rank | 0.911277 | |
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| clip_ViT_B_32_multilingual_v1 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.970577 | | std_true | 0.025745 | | mean_random | 0.826962 | | std_random | 0.066664 | | snr | 2.154303 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.766500 | | precision@k | 0.153300 | | mean reciprocal rank | 0.765431 | |
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